<!-- 假设AI分析一个卡片列表设计稿后，可能生成如下结构 -->
<div class="card-container" data-ai-layout="responsive-grid">
  <div class="card">
    <img src="product1.jpg" alt="Product" class="card-img" data-ai-optimized="true">
    <h3 class="card-title">产品名称一</h3>
    <p class="card-desc">这里是产品的描述信息。</p>
  </div>
  <div class="card">...</div>
  <!-- 更多卡片 -->
</div>

<style>
  /* AI生成的CSS可能包含基于内容的灵活布局 */
  .card-container {
    --ai-min-column-width: 250px; /* AI根据卡片内容计算出的最小理想宽度 */
    display: grid;
    grid-template-columns: repeat(auto-fit, minmax(var(--ai-min-column-width), 1fr));
    gap: 1.5rem;
    padding: 1rem;
  }

  /* 根据容器宽度动态调整字体大小（容器查询的AI增强版） */
  .card-title {
    font-size: clamp(1.1rem, 2.5cqi, 1.5rem); /* AI可能建议使用容器查询单位cqi */
  }

  /* 针对触摸设备优化交互 */
  @media (hover: none) and (pointer: coarse) {
    .card {
      padding: 1.2rem; /* AI自动增加触摸目标尺寸 */
    }
  }
</style>

<!-- 使用支持AI裁剪的云服务URL示例 -->
<img 
  src="https://res.cloudinary.com/demo/image/upload/c_thumb,g_auto,w_400,h_300/product.jpg"
  srcset="
    https://res.cloudinary.com/demo/image/upload/c_thumb,g_auto,w_800,h_600/product.jpg 2x,
    https://res.cloudinary.com/demo/image/upload/c_thumb,g_auto,w_1200,h_900/product.jpg 3x
  "
  alt="AI智能裁剪的产品图"
>
<!-- `g_auto`参数让AI自动确定图片的视觉重心进行裁剪 -->

// 伪代码：AI辅助的资源加载决策逻辑
async function loadOptimizedResource(resourceUrl, context) {
  const aiDecisionEngine = await import('./ai-resource-optimizer.js');
  
  const optimizationParams = await aiDecisionEngine.analyze({
    url: resourceUrl,
    context: {
      deviceType: context.device, // 'phone', 'tablet', 'desktop'
      networkEffectiveType: navigator.connection?.effectiveType, // '4g', '3g', '2g'
      saveData: navigator.connection?.saveData, // true/false
      viewportSize: `${window.innerWidth}x${window.innerHeight}`,
      // 可能还包括用户历史行为数据（匿名）
    }
  });

  // AI返回最佳的资源URL、格式和加载优先级
  const finalUrl = `${resourceUrl}?format=${optimizationParams.format}&quality=${optimizationParams.quality}`;
  const loadPriority = optimizationParams.priority; // 'high', 'low', 'lazy'

  return { finalUrl, loadPriority };
}

// 使用示例
const imageContext = { device: 'phone' };
const { finalUrl, loadPriority } = await loadOptimizedResource('/images/hero.jpg', imageContext);
const img = new Image();
if (loadPriority === 'lazy') {
  img.loading = 'lazy';
}
img.src = finalUrl;
document.getElementById('hero').appendChild(img);

// 结合路由和用户行为预测的智能预加载（Vue 3示例）
import { createRouter, createWebHistory } from 'vue-router';
import { aiPredictNextRoute } from './ai-prediction.js';

const routes = [
  { path: '/', component: () => import('./views/Home.vue') },
  { path: '/products', component: () => import('./views/Products.vue') },
  { path: '/products/:id', component: () => import('./views/ProductDetail.vue') },
  { path: '/about', component: () => import('./views/About.vue') },
];

const router = createRouter({
  history: createWebHistory(),
  routes,
});

// 监听路由变化，使用AI预测并预加载下一个可能的模块
let currentPath = router.currentRoute.value.path;
router.afterEach((to) => {
  const previousPath = currentPath;
  currentPath = to.path;

  // AI模块根据当前路径、历史路径序列、用户画像预测下一个高概率路径
  const predictedPaths = aiPredictNextRoute(currentPath, previousPath, userProfile);

  predictedPaths.forEach(path => {
    const route = router.resolve(path);
    if (route.matched.length > 0) {
      // 预加载该路由对应的组件
      route.matched[route.matched.length - 1].components.default().then(module => {
        console.log(`AI预加载了路径 ${path} 的组件`);
      });
    }
  });
});